This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 2781–2800 of 37257 papers
Jia Chen, Sophia Grace
Using monthly 2013–2023 data and a NARDL framework, this study finds asymmetric effects of AI development and climate policy uncertainty (CPU) on renewable energy transition. Negative AI shocks harm renewable performance more persistently t…
Alessandro Fulci
Replication package for a cross-market study predicting ESG scores from economic factors across five markets. It includes scripts for data acquisition, random forest models, bootstrap inference, and Shapley value analysis. Company-level LSE…
Inet Maryana Luhmaningtias, Basuki Basuki
Using 127 firm-year observations from 33 Indonesian energy and mining firms (2021–2024), this study tests whether tax avoidance (CETR) relates to firm value (Tobin's Q) and whether ESG disclosure moderates that link, via a fixed-effects mod…
Laras Angelia Nirwana Sari, Fayza Najeela Pakutandang, Wiwit Pawitri
Using netnography, this study analyzes how corporate ESG disclosures are interpreted across X, LinkedIn, Reddit, YouTube and investor forums, and how online interaction shapes corporate reputation. Findings show ESG disclosure generates bot…
Anonymous
Proposes using blockchain to record IoT-derived supply-chain data, producing sustainability evidence robust enough for third-party assurance. Aims to strengthen data integrity and traceability for Scope 3 and disclosure. Details unavailable…
Pusuluri Pavan Kumar, Yogeshwar Singh, Susheel Kumar Singh +4
A field study assessing how climate-smart irrigation, tillage, and residue recycling affect energy, carbon, and water footprints in direct-seeded rice–wheat systems in a semi-arid region. It suggests combined practices can reduce multiple e…
Dr. Anjana Kumari, Arnav Raviraj, Arya
This comparative literature and policy review contrasts the ecological benefits of environmental AI (deforestation tracking, biodiversity monitoring, climate modelling) with the growing carbon footprint and grid strain of training and runni…
Ajeet Kumar Lal Mohan, Raman Utkarsh Janaki
A PRISMA 2020 systematic review of 34 studies on commercial cloud kitchens. LPG open burners convert only 32-55% of fuel energy to useful heat, while high-frequency induction hobs transfer 84-90% directly to cookware. Induction shortens coo…
Yuri Rommel Vieira Araújo, Mónica Carvalho, Bartolomeu Israel de Souza +1
This LCA quantifies 10-year GHG emissions from transporting urban tree-pruning residues across five municipalities in Brazil's João Pessoa metro region. Transport dominates the waste chain; switching to biodiesel plus local reuse cutting tr…
Bhagyashri K Kulkarni, Shashank Urs H P, Vinod V +2
Evaluates CarbonTrack, a completed AI logistics carbon-footprint platform, against its own code, models, and tests. Re-running the pipeline reproduced 87.5% predictive-maintenance and 91.0% route-recommendation accuracy with regression MAEs…
Пламен Драгнев
This study analyzes opportunities, barriers, and strategic directions for carbon farming (CF) in Bulgaria, focusing on digitalisation's role in MRV of carbon outcomes. Precision agriculture, IoT, remote sensing, AI, and blockchain can suppo…
Gørild M. Heggelund, Iselin Stensdal, Maosheng Duan +1
An analysis of China's national emissions trading scheme and its gradual development. The title suggests a case that slow, steady institutional building may outperform rapid reform. Details are unavailable without an abstract.
Yongbo Li, Chenlin Zhang, Yanjie Zhu +1
This study examines how green supply chain governance drives corporate carbon disclosure, framing coordination along supply chains as a pathway to carbon transparency. It explores the mechanisms linking supply chain governance to greater di…
Chitra De Silva Lokuwaduge
A documentary analysis (2014–2024) mapping the state of corporate carbon accounting and reporting across Asia. It examines institutional developments, policy frameworks, and emerging emissions measurement practices, finding progress but per…
Lorena Rodrigues Cunha, Ana Nadja Lopes Lucas, Matheus Martins Teixeira Cota +2
An LCA quantifying the carbon footprint of 1 ton of sisal fiber, covering decortication, sun drying, brushing, grading, and baling. Diesel use in decortication dominates emissions; diesel-biodiesel blends (86:14 and 80:20) cut the footprint…
Heesu Jeon, Nictor Namoi, Chunhwa Jang +5
Soil CO2 and N2O fluxes were measured over two seasons in switchgrass and corn on marginal land, partitioning total soil respiration into heterotrophic and autotrophic components via root exclusion. Total respiration was 47% higher in switc…
Liyuan Chen, Jiaying Pan
This study couples machine learning with process-level carbon accounting to quantify the net carbon benefit of CO₂ curing of cement. By integrating CO₂ uptake and emissions, it clarifies when curing technology delivers genuine climate benef…
Jaeeun Sohng, Noah W. Sokol, Peter M. Weber +7
A 55-week soil microcosm study tested how olivine-enhanced weathering interacts with labile carbon inputs to affect soil organic carbon. Olivine alone reduced total organic carbon, but with glucose it initially suppressed microbial carbon u…
Rebecca Pearse
This paper examines how Australia's carbon market was constructed through a 'hybrid' lens, analyzing how market mechanisms blend with state regulation and institutional design. It offers an institutional account of carbon pricing formation,…
M. Nishida, Hidetaka Kobayashi, Akira Oka
Using one offline ocean biogeochemical model driven by physical fields from 12 PMIP models, the authors isolate how ocean physics uncertainty affects glacial atmospheric pCO2. The mean LGM drawdown is 40.3 ppmv, driven by SST-cooling solubi…
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